You will get Fraud Alert API with AI‑ML for Fintech | Real‑Time Transaction Monitoring
Project details
🛡️ Want to protect your fintech app from suspicious transactions and fraud?
I'll build a real-time fraud detection API using machine learning that monitors live transactions, flags anomalies, and integrates seamlessly into your backend — helping you reduce losses and increase trust.
✅ Detect & flag suspicious activities with AI
✅ Pre-trained or fine-tuned ML models
✅ Real-time alerts via email or webhook
✅ Easy-to-integrate REST API
✅ Dashboard (Premium) for tracking events
✅ Built with FastAPI or Flask + Docker
✅ Deployment-ready for AWS, GCP, or local hosting
Perfect for:
Fintech startups
Payment gateways
Banking & lending platforms
Fraud analytics teams
Let’s secure your systems using battle-tested AI.
I'll build a real-time fraud detection API using machine learning that monitors live transactions, flags anomalies, and integrates seamlessly into your backend — helping you reduce losses and increase trust.
✅ Detect & flag suspicious activities with AI
✅ Pre-trained or fine-tuned ML models
✅ Real-time alerts via email or webhook
✅ Easy-to-integrate REST API
✅ Dashboard (Premium) for tracking events
✅ Built with FastAPI or Flask + Docker
✅ Deployment-ready for AWS, GCP, or local hosting
Perfect for:
Fintech startups
Payment gateways
Banking & lending platforms
Fraud analytics teams
Let’s secure your systems using battle-tested AI.
Machine Learning Tools
Apache Mahout, Apache Spark, Apache Spark MLlib, Azure Machine Learning, BERT, ChatGPT, Cloudera, fastText, Google Data Studio, Google Sheets, GPT-3, Hortonworks, Kubeflow, Mapr, Microsoft CNTK, Microsoft Power BI, MLflow, Open Neural Network Exchange, OpenCV, pandas, Python Scikit-Learn, Scrapy, Tesseract OCR, TextBlob, Vertex AIWhat's included
| Service Tiers |
Starter
$300
|
Standard
$700
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 9 days | 14 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 3 | 5 | 8 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - |
Frequently asked questions
About Saqib
AI & ML Engineer | DL, NLP, GPT-4 | Healthcare, E-com & FinTech AI Exp
Rahim Yar Khan, Pakistan - 4:24 pm local time
I’m an AI/ML Engineer who builds real-world, scalable, and future-proof AI solutions using the latest in Deep Learning, NLP, and Generative AI (GPT-4, LangChain, Hugging Face).
I specialize in projects that create real business impact across:
🏥 Healthcare
🛒 E-commerce
💰 Finance
These industries aren’t just AI-heavy — they dominate hiring trends on Upwork in 2025 and are actively investing in automation and smart systems.
🔍 What I Offer
✅ 🏥 Healthcare AI
✅ Medical image classification (X-rays, MRI, CT)
✅ Patient data analytics & predictive diagnostics
✅ OCR extraction from scanned prescriptions/reports
✅ NLP solutions for EHR systems & symptom checkers
✅ 🛒 E-commerce AI
✅ Product recommendation engines
✅ AI chatbots using RAG + GPT-4
✅ Price/demand prediction & inventory forecasting
✅ Social sentiment analysis & review summarization
✅ 💰 FinTech & Analytics
✅ Fraud detection systems with real-time alerts
✅ Credit scoring & financial risk modeling
✅ Time-series forecasting (sales, stock, crypto)
✅ AI-powered automation for financial data processing
🧠 Core AI Skills & Tools
🛠️ Languages & Frameworks:
Python, PyTorch, TensorFlow, Keras, LangChain, Transformers, OpenAI GPT-4, FastAPI, Streamlit, Docker, SQL, Hugging Face
🧠 AI Domains:
✅ Natural Language Processing (Text Classification, Chatbots, Summarization, Q&A)
✅ Deep Learning (CNNs, LSTMs, Transformers, GANs)
✅ Generative AI (LLMs, Prompt Engineering, RAG)
✅ Computer Vision (OCR, Object Detection, Image Segmentation)
✅ Time-Series & Forecasting Models
✅ Model Fine-tuning (BERT, YOLO, Whisper)
🚀 MLOps & Production:
✅ End-to-End AI Pipelines (Dev → Deploy)
✅ CI/CD for ML workflows
✅ Model deployment as REST APIs or Web Apps
✅ Cloud integration: AWS, GCP (Vertex AI), Azure
✅ Version control tools: MLflow, DVC, Weights & Biases
🚀 My Process
1️⃣ Discovery & Scoping – Define the problem, goals, and tech stack
2️⃣ Rapid Prototyping – Deliver a working POC in days using best-fit AI tools
3️⃣ Model Training – Custom train or fine-tune models on your domain-specific data
4️⃣ Deployment-Ready – Package into APIs, dashboards, or full SaaS MVPs
5️⃣ Support & Documentation – Clean, modular code + full documentation & handover
🧩 Why Me?
✔️ Up-to-date AI expertise – Mastery of 2024–2025 tools: GPT-4, LangChain, Claude, etc.
✔️ Industry-aligned solutions – Focused on Healthcare, E-commerce & FinTech challenges
✔️ Production-ready delivery – I don’t stop at models — I deploy real systems that scale
✔️ Business-impact driven – Every build targets measurable value (efficiency, revenue, insight)
✉️ Let’s Talk
Whether you're a startup building your first AI MVP, a clinic automating diagnostics, or a retail brand optimizing customer experience — I can help you build, scale, and deploy AI systems that work.
💡 Ready to turn your idea into an AI product? Click 'Invite' or 'Message' — let’s build something game-changing.
Steps for completing your project
After purchasing the project, send requirements so Saqib can start the project.
Delivery time starts when Saqib receives requirements from you.
Saqib works on your project following the steps below.
Revisions may occur after the delivery date.
Review sample data & project goals
Design & train/fine-tune fraud detection model